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DBMS > Firebase Realtime Database vs. Hawkular Metrics vs. Hazelcast vs. Memcached vs. mSQL

System Properties Comparison Firebase Realtime Database vs. Hawkular Metrics vs. Hazelcast vs. Memcached vs. mSQL

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonMemcached  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridIn-memory key-value store, originally intended for cachingmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelDocument storeTime Series DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.hawkular.orghazelcast.comwww.memcached.orghughestech.com.au/­products/­msql
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperGoogle infoacquired by Google 2014Community supported by Red HatHazelcastDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHughes Technologies
Initial release20122014200820031994
Current release5.3.6, November 20231.6.25, March 20244.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSD licensecommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCC
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoSQL-like query languagenoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocolJDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes infoEvent Listeners, Executor Servicesnono
TriggersCallbacks are triggered when data changesyes infovia Hawkular Alertingyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated Mapnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithmnone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes, based on authentication and database rulesnoRole-based access controlyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
Firebase Realtime DatabaseHawkular MetricsHazelcastMemcachedmSQL infoMini SQL
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